Instructions to use aleegis/44e29d31-de29-44b0-a6bd-b6cd340d9f49 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/44e29d31-de29-44b0-a6bd-b6cd340d9f49 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "aleegis/44e29d31-de29-44b0-a6bd-b6cd340d9f49") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f04d95b9c5b5c653e2b14570bf18dc25dacaecc65e5652665581393f6ca63522
- Size of remote file:
- 17.2 MB
- SHA256:
- 191cb3e9bd55f46b3d72f7f6f39c98c3ee94148edc7787a29dad75d112c93ccb
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